AI Management Platforms (AI-MPs)

In the rapidly evolving landscape of artificial intelligence, organisations are increasingly leveraging Generative AI (GenAI) to drive innovation, improve efficiency, and gain competitive advantages. A significant decision they face is whether to adopt an AI Management Platform (AI-MP) or opt for a self-built solution

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An AI-MP is a no-code platform that allows organisations to build, train and manage their AI agents in a way that is centred around their needs. There are very few of these platforms but most offer tools to build, train, and manage GenAI agents in an LLM (large language model) agnostic manner. The archetype in this emerging industry is the UK scale-up funded by the UK National Technology Officer at Microsoft

1. User-Centric Approach

AI-MPs provide an intuitive interface designed for users with varying levels of technical expertise. This democratises AI management, enabling non-developers to engage in the AI management process without needing deep coding skills. It also provides a single “pane of glass” through which organisations can monitor and manage their AI.

2. No-Code Tools:

One of the most significant features of AI-MPs is the no-code environment. This allows organisations to quickly develop, deploy, and iterate on AI solutions without investing heavily in specialised programming resources. It accelerates time-to-market and enhances agility in AI management.

3. LLM Agnostic:

AI-MPs are designed to be LLM agnostic, meaning they can integrate with various language models regardless of the provider. This flexibility ensures that organisations can leverage the best models available and switch providers if necessary, without significant retooling, optimising their AI management strategies.

4. Centralised Management:

AI-MPs offer a centralised platform for managing all AI agents, providing clear visibility into their performance and usage. This holistic view helps in monitoring, troubleshooting, and optimising AI deployments effectively, enhancing overall AI management efficiency.

5. Cost Efficiency:

By using AI-MPs, organisations can significantly reduce the costs and risk associated with developing and maintaining custom AI infrastructure. The platform handles much of the heavy lifting, allowing internal teams to focus on strategic AI management initiatives rather than technical details

Conclusion

AI Management Platforms offer a compelling proposition for organisations looking to harness the power of generative AI without the time and cost of building and maintaining a custom AI management solution. They provide user-friendly, no-code tools that accelerate deployment and are flexible enough to work with various language models.

Our Differentiators

What makes us stand out from the crowd.

Our Enhanced Security

In an era where data breaches are costly, security is paramount. The Great Wave AI Platform incorporates advanced security measures, safeguarding your data and AI applications against threats.

Compliance With Standards

We prioritise compliance and have designed our platform to align with international standards like ISO42001, ensuring your GenAI solutions meet regulatory requirements and best practices.

The Great Wave Advantage

Choosing Great Wave AI Service means partnering with a leader in GenAI solutions. Our unique platform, combined with our expertise, sets us apart, offering unparalleled speed, efficiency, and cost savings.

Product Features

Explore and learn more about our platform features

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LLM Orchestration

LLM Orchestration streamlines the coordination of multiple language models, enhancing efficiency and performance in AI-driven tasks.

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LLM Monitoring

LLM Monitoring ensures the continuous performance and security of language models by providing real-time insights and proactive issue resolution.

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LLM Grounding

LLM Grounding enhances response accuracy by anchoring outputs in real-world data and relevant context. It ensures relevance to context.

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LLM Evaluation Tool

LLM Evaluation ensures model accuracy and reliability through comprehensive performance assessments and continuous improvement.

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LLM Observability

LLM Observability provides deep insights into model performance and behaviour, ensuring transparency and efficient troubleshooting.

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LLM Studio

LLM Studio offers an integrated environment for developing, testing, and deploying language models efficiently and effectively.

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RAG as a Service

Streamlines the creation and maintenance of Retrieval-Augmented Generation pipelines, enhancing AI response accuracy and relevance.

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LLM Document Retrieval

LLM Document Retrieval enhances information access by efficiently locating relevant documents and data for AI-driven applications.

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LLM Document Search

LLM Document Search optimises information discovery by providing precise and relevant document retrieval for AI applications.

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LLM Document Summarisation

LLM Document Summarisation condenses extensive texts into concise, informative summaries, enhancing data comprehension and efficiency.

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LLM RAG

LLM RAG integrates retrieval systems with LLMs to enhance response accuracy and context relevance by leveraging external data, sources and context.

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Multi-Agent LLM

Multi-Agent LLMs coordinate multiple language models to collaborate and solve complex tasks more effectively and efficiently.

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LLM Guardrails

LLM Guardrails ensure safe and reliable AI interactions by setting constraints and guidelines to prevent misuse and errors.

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LLM Agnostic

LLM Agnostic solutions offer flexibility by seamlessly integrating with various language models, regardless of their provider.

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LLM Frameworks

LLM Agnostic solutions offer flexibility by seamlessly integrating with various language models, regardless of their provider.

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LLM Integrations

LLM Integrations enhance workflow efficiency by seamlessly connecting language models with existing systems and applications.

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LLM Infrastructure

LLM Infrastructure provides the robust foundation needed to support and scale large language models effectively and reliably.

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LLM Security

LLM Security ensures the protection of large language models through advanced threat detection, data encryption, and strict controls.

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AI Management Platforms (AI-MPs)

AI-MPs streamline the development, deployment, and oversight of AI systems, offering user-friendly, no-code solutions for efficient ops.

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LLM Management Platforms (LLM-MPs)

LLM-MPs provide a centralised, user-friendly solution for developing, deploying, and managing LLMs with ease and flexibility.

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